Data Scientist Jobs in Australia

Data Scientist

Job Description Data Scientist At WSP, we're using data to help solve some of the world's most complex infrastructure, environmental and community challenges. From utilities and transport networks to climate resilience and asset management, our teams are delivering intelligent solutions that create lasting impact. We're looking for a Data Scientist with strong data engineering capabilities who can take projects from raw source systems through to production-ready data products and machine learning solutions. This is not a research-focused role. We're seeking someone who enjoys building end-to-end solutions, owns the technical delivery, and can bridge the gap between data engineering, analytics and operationalised AI. What You'll Do As part of our growing Data \& Digital team, you'll design, build and deploy scalable data and machine learning solutions for a diverse range of infrastructure clients. You Will * Design and build ingestion pipelines from client source systems including SCADA, asset registers, geospatial, climate, environmental and utilities data into cloud platforms such as Snowflake, Databricks and Azure. * Develop robust, layered data architectures including raw, staging and curated data models using dbt or equivalent frameworks. * Build, validate and deploy statistical and machine learning models, transforming prototypes into monitored and production-ready solutions. * Establish CI/CD practices, environments, secrets management and automation for data and model pipelines. * Assess client data maturity, quality and governance practices, providing strategic recommendations for improved data collection and management. * Deliver end-to-end projects, including discovery, architecture design, development, testing, deployment, documentation and client handover. * Support business development activities through technical input into proposals, bids and advisory engagements. * Collaborate with multidisciplinary teams across transport, water, energy, defence, environment and major infrastructure projects. Essential What we'll be looking for You will bring a combination of data science expertise and engineering rigour, including: * Strong Python development skills, including software engineering best practices such as packaging, testing, version control, code reviews and maintainable code design. * Advanced SQL skills with experience in optimisation, data modelling, metric development and complex transformations. * Production experience with cloud data platforms such as Snowflake, Databricks, Azure Data Services or equivalent AWS technologies. * Experience with modern transformation and orchestration tools including dbt, Airflow, Azure Data Factory or similar. * A solid understanding of statistics and machine learning techniques including regression, classification, forecasting and validation methodologies. * Demonstrated experience operationalising data products, machine learning models or data pipelines within production environments. * Experience working with large, complex and imperfect operational datasets from multiple source systems. * Strong stakeholder engagement skills, with the ability to communicate technical concepts and architectural decisions to both technical and non-technical audiences. Desirable Experience in any of the following areas will be highly regarded: * MLOps tooling including MLflow, model registries and model monitoring. * Docker, Azure Functions or other deployment technologies. * Infrastructure as Code tools such as Terraform or Bicep. * High-frequency telemetry, IoT or time-series data. * Geospatial analytics and tools such as GeoPandas. * Infrastructure sector experience across water, transport, energy, defence or environmental services. * Optimisation, simulation or digital twin applications. * Power BI or similar visualisation tools sufficient to support analyst handover and reporting requirements. Why join WSP? At WSP, you'll work on projects that shape cities, communities and critical infrastructure across Australia and beyond. You'll join a collaborative team of engineers, scientists, consultants and digital specialists who are passionate about solving complex problems with data and technology. We Offer * The opportunity to work on nationally significant infrastructure and sustainability projects. * Access to industry-leading digital, AI and cloud technologies. * Flexible working arrangements that support work-life balance. * Ongoing investment in learning, development and technical career growth. * A collaborative, inclusive and high-performing culture where innovation is encouraged. * The chance to influence how data and AI are applied to some of the world's most pressing challenges. Imagine a better future for us all and a better future for you. With us, you can. Apply today.

Senior Data Scientist I

From $299/yr

* Bring your expertise in Python, SQL, machine learning and agentic AI to turn complex challenges into scalable solutions. * Shape the future of AI at Zip, building intelligent solutions that solve real customer problems and make a meaningful impact. * Collaborate with talented teams across Data, Product and Engineering in Sydney. Write your story with a career at Zip A role in Zip’s Data \& AI Squad will see you partner with key stakeholders to deliver reliable, future ready data and AI solutions that power smarter decisions. As a Senior Data Scientist in our Customer Data Science team, you'll take ideas from experimentation to production, using machine learning and emerging AI technologies to improve how we work and the experiences we create for our customers. What You’ll Own * Lead the design, development and deployment of machine learning and agentic AI solutions that deliver measurable customer and business outcomes. * Turn complex problems into practical solutions through advanced analytics, experimentation and statistical modelling. * Partner with Product, Engineering and business teams to bring AI innovation to life, while sharing your expertise to help others grow. What You’ll Bring To The Team Zipsters bring different experiences and perspectives. What matters most is your curiosity, willingness to grow and connection to our values. Even if you don't tick every box, we'd love to hear from you. * 5+ years' experience in Data Science, with a track record of delivering impactful machine learning and AI solutions. * Advanced Python and SQL skills, with strong knowledge of statistical modelling, experimentation and modern data platforms. * Hands-on experience building and deploying production ready ML models and agentic AI solutions, including LLMs. * Strong problem solving and communication skills, with the ability to turn complex insights into clear recommendations. * A mindset that embraces AI and new tools to adapt, learn and grow. * An aptitude for identifying and managing risks. Whether you are a People Manager or an Individual Contributor, we are all leaders at Zip, therefore effective risk management is important to how we run our business and part of all our roles. * Our values in your DNA: Customer First, Own It, Stronger Together and Change the Game What You’ll Get In Return As we write this next exciting chapter in our story, we will continue to move at pace and embrace change. For you, this might mean opportunities to learn new skills with hands-on experience, broader responsibilities, or the buzz of seeing your work impact customers faster. Zip is a place where you’ll get out exactly what you put in. When you join the team, we'll do our best to make sure you can be yourself and surround yourself with smart, friendly colleagues and leaders who have your back, so that you can make the big things happen. Zipsters tell us these are just some of the best things about working here. You’ll also receive: * 25 days paid leave annually, including birthday leave and quarterly wellbeing days * 16 weeks paid parental leave for primary carers, and 4 weeks for supporting carers * Family support policies including miscarriage bereavement leave and domestic violence leave * Mental health and wellness initiatives, including $299 annual wellbeing allowance, free access for you and family members to our EAP service Sonder, discounted private health insurance, and great rates on fitness sessions through ClassPass * 2 days paid volunteering leave per year * Access to the Flare Benefits Hub and Novated Leasing for savings across lifestyle, essentials and wellbeing * Fee-free Zip products, and discounts with Zip merchant partners * Team social events, epic offices, free breakfast daily, and weekly free lunches Be a part of a team that reflects the diversity of our customers We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique. Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience. And finally…get to know us Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together. Operating in two core markets - Australia and the US, Zip offers point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do.

Data Scientist

From $20,000/yr

Job Description At Publicis Sapient, We’re Building Something Truly Exceptional ! Our Data \& AI practice designed to redefine how businesses operate, grow, and deliver value. We re not talking about trendy buzzwords—we re talking about real impact. AI is transforming industries, enriching customer experiences, and unlocking untapped potential—and we re leading that change every day Join Publicis Sapient as a Senior Associate, Data Science and help shape the future of data-driven digital transformation. In this role, you will help to drive the Data \& AI practice by playing a critical role in delivering solutions for our clients and contributing to business development activities. This is a hands-on role where you will apply advanced techniques for data analytics, machine learning, and AI as a core building block for our services. You will leverage your experience across industries to understand business requirements, identify approaches and designs, and work with multi-disciplinary teams to develop solutions. As an evangelist for Analytics, you will engage with broader data, engineering, product, and strategy practices to provide insights into best practices and emerging technologies and techniques, ensuring that the solutions we develop are data and insight driven. What you will do: * Design and implement advanced analytical solutions and machine learning models that drive measurable business value, selecting appropriate methodologies based on problem context, ensuring models are robust and interpretable, to ensure solutions meet client needs, not just basic requirements. * Build client relationships and deliver end-to-end data science engagements, from problem framing and exploratory analysis through to model deployment and impact measurement, translating complex analytical findings into actionable business recommendations and managing stakeholder expectations throughout the project lifecycle. * Thrive in cross-functional team environments, working closely with data engineers, analysts, software engineers, experience and strategy specialists, and business stakeholders to deliver integrated solutions, facilitating effective communication across technical and non-technical audiences, and driving consensus on complex decisions. * Help shape and grow our Data practice, invest in continuous learning and support development of others, stay current with emerging technologies and methodologies, and contribute to a collaborative team culture where knowledge sharing and growth are valued. Establish standards to ensure consistency across projects and teams. * Contribute to business development and firm visibility by participating in proposal development and client pitches, creating thought leadership content through, engaging with the broader data engineering community, and identifying opportunities to expand existing client relationships. Experience and Skills required: * 8+ years of relevant professional experience working as a data scientist. * A passion for using AI and data for business transformation and a thirst to continually learn and keep pace with the latest innovations and applications. * Experience in statistical methods and modelling techniques (e.g., Random Forests, Clustering, Linear Regression) and expertise in key areas such as customer intelligence (segmentation, behavior analysis, personalization, recommender systems, forecasting). * Experience using and integrating generative AI models and platforms, agentic solutions, and context engineering techniques. * Experience with programming languages (Python, R, SQL) and AI/ML platforms (e.g. Databricks, and cloud platforms (e.g. Azure Synapse, AWS SageMaker, Google Cloud Vertex AI). * Experience with data science, data visualization, and data analysis tools (e.g., scikit-learn, pandas and NumPy, Apache Spark, matplotlib, ggplot2). * Experience working with large volume data sets and multiple data formats and interfaces (SQL, JSON, REST, Parquet, streaming, geospatial, unstructured). * Technical knowledge of reporting and data visualization tools (Tableau \& Power BI), graphing and chart libraries (e.g., matplotlib, plotly). * Experience working in a client-facing (ideally) consulting role, having great written and verbal communication skills, and the ability to work closely with stakeholders, or having been part of a project team. * Flexibility and the willingness to travel are required for this role, as you might need to spend time on-site with our clients. * Experience in agile methodologies and relevant tools (Confluence, Jira, git). * Experience working in cross-cultural and cross-disciplinary teams. Desired Qualifications * Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation, etc.). * Experience in production environments for Machine Learning products, knowledge of the tools that are needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes). * Solid knowledge of software engineering principles \& deployment methods (preferably in cloud environments). Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP, etc. * Industry experience in the Finance, Automotive, Logistics, Energy, or public sector. Additional Information * An inclusive workplace that promotes diversity and collaboration. * Access to ongoing learning and development opportunities. * Competitive compensation and benefits package. * Flexibility to support work-life balance. * Generous paid leave and holidays. * Wellness program and employee assistance. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Data Scientist

I am proud to partner with this Queensland Government department to help them recruit an experienced Data Scientist to support a major Data \& Analytics uplift program focused on improving claims management through advanced analytics and artificial intelligence. Working with complex claims data and unstructured documentation, you'll develop machine learning models and analytical solutions to identify patterns, predict claim outcomes, detect emerging risks and support more consistent, evidence-based decisions. This is an opportunity to apply your data science skills to practical business problems, with work spanning predictive modelling, claims forecasting, natural language processing and AI/ML solutions in production. Key Responsibilities * Develop and implement machine learning models to support claims management and decision-making. * Apply statistical and predictive modelling techniques, including classification, regression, time-series analysis, clustering and anomaly detection. * Analyse large, complex datasets to identify trends, emerging risks and opportunities for improved claims outcomes. * Use Python, SQL and Azure Databricks to develop and deliver analytical solutions. * Apply NLP and text analytics techniques to unstructured claims documentation. * Evaluate, validate and monitor models to ensure reliability and performance in production. * Work with business stakeholders and data professionals to translate business problems into practical analytical solutions. * Support the delivery and ongoing optimisation of AI/ML solutions using CI/CD processes. About You To be successful in this role, you will have: * Demonstrated experience applying machine learning to large, complex datasets to solve business problems. * Strong statistical analysis and predictive modelling skills. * Experience with classification, regression, time-series analysis, clustering and anomaly detection. * Practical experience with Python, SQL and Azure Databricks. * Experience delivering AI/ML solutions using CI/CD processes. * An understanding of monitoring and optimising production AI/ML solutions, including cost, latency and reliability. * Strong analytical and problem-solving skills, with the ability to translate findings into meaningful business outcomes. Experience with NLP, text analytics and unstructured data is highly regarded, as is experience in government, insurance or another regulated environment. A degree in Data Science, Statistics, Mathematics or a related field is also desirable. If you have strong data science and machine learning experience and are interested in applying your skills to real-world claims and insurance challenges, apply now!

Data Scientist, Network Fabric Engineering

From $104/yr

Description AWS Networking operates one of the largest and most complex networks on the planet. The team you'd join is responsible for the availability of that network — measuring how it performs for customers, predicting where it is most likely to degrade, and reshaping how we operate it as the workload grows. We are in the middle of a significant change in how network operations are run. Lessons from our recent work on automation, AI, and ML — including agentic systems that triage and mitigate incidents alongside engineers — are feeding into a broader rethink of where humans focus, where automation takes over, and how we measure whether either is working. We are looking for a Data Scientist to join the team in Sydney to drive the data science strategy behind that change. You will define the metrics that matter, own the evidence the team uses to make decisions, and measure whether each decision delivered the outcomes we expected. You'll be the data science voice on a team of senior network and software engineers — the person who decides what we measure, how we measure it, and what the numbers actually mean. Concretely, that means setting the analytical bar for the program, designing risk and reliability models against telemetry from millions of network devices, surfacing the patterns that drive customer-impact incidents, and turning that analysis into the dashboards and metrics our leaders use to set priorities. It also means owning the evaluations that tell us when a new piece of automation — including the agents we are rolling out to support engineers on the front line — is actually moving the needle on availability, and not just adding noise. If you are a scientist who wants to shape how a tier-one production network is run — using data to drive program strategy, not just to support it — at a scale no academic lab or startup can match, and you're at your best as the data science voice embedded in a team of engineers, this is the team for you. Key job responsibilities * Define and drive the data science strategy for the program — the metrics, the experiments, and what counts as evidence that a change worked * Lead the design and deployment of predictive risk and reliability models for network availability, using device failures, alarm telemetry, ticket data, and traffic signals * Own the evidence behind program decisions: where availability is at risk, where automation is ready to expand, where engineering effort has the highest leverage. Defend recommendations to senior technical and business audiences * Design and own the operational analytics and dashboards (Amazon QuickSight, Amazon CloudWatch, Python) used by senior leadership to track network health and the impact of operational change * Design and run experiments to evaluate the automation we are rolling out — including agentic systems supporting engineers on incidents — measuring whether each rollout improved availability * Drive data quality and classification improvements — event categorisation, root-cause attribution — so the program's metrics rest on solid ground * Build and own event-driven scoring pipelines (Python, SQL, AWS Lambda, Amazon S3, Amazon Athena) that keep the decide / measure / improve loop running * Bring statistical rigour to the engineers you partner with — review experiment designs, push back on unsupported assumptions, and raise the bar on how the team uses evidence A day in the life You might start the morning defining how the team will measure a new initiative — the success metrics, the counterfactual, the bar for calling it a win. By mid-morning you're with the engineering team turning a proposal into a decision: walking through trade-offs, pushing back where the data doesn't support an assumption. The afternoon is outcome measurement — refining the evaluation pipeline that tracks last week's rollout, updating the CloudWatch dashboard senior leadership uses to gate the next expansion, and prepping the data for an upcoming Director review. About The Team We sit inside AWS Networking with a strong Sydney presence and a remit that spans network availability, the data and analytics that support it, and the automation we are building to change how operations are done. You'd be the data science voice in a small, senior team of network and software engineers in Sydney, partnering with the broader network engineering organisation across Seattle and Dublin. Small team, high autonomy, direct line to senior leadership, and a roadmap with real production impact rather than research demos. Basic Qualifications * 2+ years of data scientist experience * 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience * 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience * 1+ years of working with or evaluating AI systems experience Preferred Qualifications * Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM) * Knowledge of machine learning concepts and their application to reasoning and problem-solving * Experience in Python, Perl, or another scripting language * Experience in a ML or data scientist role with a large technology company * Experience in defining and creating benchmarks for assessing GenAI model performance Acknowledgement Of Country In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Support Services Pty Ltd Job ID: A10460021